Triple

T10706758
Position Surface form Disambiguated ID Type / Status
Subject Marylebone station E252427 entity
Predicate hasStationCode P1289 FINISHED
Object MYB
MYB is the National Rail station code for London Marylebone railway station, a central London terminus for Chiltern Railways services.
 E880407 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MYB | Statement: [Marylebone station, hasStationCode, MYB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MYB
Context triple: [Marylebone station, hasStationCode, MYB]
  • A. MYK
    MYK is the vehicle registration code for the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • B. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • C. MYAN
    MYAN is the ICAO airport code for San Andros Airport in the Bahamas.
  • D. MYU
    MYU is the IATA airport code for Mekoryuk Airport, a small regional airport serving the village of Mekoryuk in Alaska, United States.
  • E. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MYB
Triple: [Marylebone station, hasStationCode, MYB]
Generated description
MYB is the National Rail station code for London Marylebone railway station, a central London terminus for Chiltern Railways services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MYB
Target entity description: MYB is the National Rail station code for London Marylebone railway station, a central London terminus for Chiltern Railways services.
  • A. MYK
    MYK is the vehicle registration code for the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • B. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • C. MYAN
    MYAN is the ICAO airport code for San Andros Airport in the Bahamas.
  • D. MYU
    MYU is the IATA airport code for Mekoryuk Airport, a small regional airport serving the village of Mekoryuk in Alaska, United States.
  • E. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddfbed48190810bb3faee473fde completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8632688190b3746649a124ca09 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:12 p.m.